Embodiments disclosed herein relate to systems and methods for imaging a microscopic sample, for example in a liquid or a solid. The systems can be coupled to a portable electronic device and adjusted in three dimensions to allow for alignment of a lens assembly with an optical axis of a camera on a portable electronic device. This can allow for use across various-sized electronic devices, such as smartphones, tablets, and digital cameras. The systems can have a compact size, which allows for portable and/or at-home analysis of samples. The systems can be used to analyze sperm samples to detect fertility issues. The systems can be used to analyze soil or liquid samples to detect contaminants, such as microplastics.

A method of measuring malarial parasitemia includes disposing a sample including red blood cells in liquid form on a sample stage, illuminating the sample with optical radiation, capturing a plurality of images of the sample, and extracting, from the one or more of the plurality of images, a set of red blood cell images. Each red blood cell image is associated with a particular red blood cell. The method also includes for each red blood cell image in the set of red blood cell images, inputting each red blood cell image into a machine learning model and generating, using the machine learning model, a classification related to a malaria parasite lifecycle stage for each of the red blood cells. The method further includes determining the malarial parasitemia for the sample.

Disclosed are a sample analysis apparatus and method which include: obtaining a first light signal by irradiating a first test sample from blood and a first-channel reagent to differentiate neutrophils, eosinophils, lymphocytes, and monocytes; obtaining a second light signal from a second test sample from the blood and a second-channel reagent; counting the nucleated red blood cells and lymphocytes based on the second light signal; determining accuracy of the lymphocyte result from the first test sample; and if inaccurate, correcting the lymphocyte result based on the lymphocyte result of the second test sample.

Provided are a morphological cell parameter-based erythrocyte test method and digital holographic microscope used therein, and the morphological cell parameter-based erythrocyte test method includes performing modeling to create a 3D image of an erythrocyte to be tested and measuring morphological parameters of the erythrocyte based on the 3D image.

The morphological cell parameter-based erythrocyte test method performs modeling of a 3D image for an erythrocyte to be tested and measures morphological parameters of the erythrocyte based on the 3D image. Therefore, time and effort consumed in measurement may be reduced, and accuracy of the measurement is excellent.

Disclosed is a method of measuring red blood cell membrane fluctuations based on dynamic cell parameters using a digital holographic microscope; the method including a step of modeling the three-dimensional images of red blood cells to be measured, and a step of measuring red blood cell membrane fluctuations based on the three-dimensional images. According to this method, since the three-dimensional images of red blood cells to be measured are modeled and red blood cell membrane fluctuations are measured based on the three-dimensional images, red blood cell membrane fluctuations can be measured more easily.

Disclosed in one aspect is a method for performing a complete blood count (CBC) on a sample of whole blood by metering a predetermined amount of the whole blood and mixing it with a predetermined amount of diluent and stain and transferring a portion thereof to an imaging chamber of fixed dimensions and utilizing an automated microscope with digital camera and cell counting and recognition software to count every white blood cell and red blood corpuscle and platelet in the sample diluent/stain mixture to determine the number of red cells, white cells, and platelets per unit volume, and analyzing the white cells with cell recognition software to classify them.

An aspect of the invention relates to a method for detecting amyloid aggregates (40) in blood. The method comprises providing a blood sample (20) comprising one or more red blood cells and performing an analysis of a surface layer (22) of the blood sample (20) by an atomic force microscope (10) to detect amyloid aggregates on the surface of the red blood cells and to image detected amyloid aggregates. Further aspects relate to a corresponding atomic force microscope and a corresponding computer program product.

A method for measuring concentrations of blood cell components is provided. The method comprises: obtaining a blood sample from a subject, the blood sample comprising at least one of red blood cells (RBCs), white blood cells (WBCs), and platelets (PLTs); mixing the blood sample with a non-lysing aqueous solution to form a sample mixture comprising a predetermined tonicity; passing the sample mixture through a flow cell; emitting light towards the flow cell; measuring at least one of an amount of light absorbed by the RBCs to obtain an RBC absorption value, an amount of light scattered by WBCs to obtain a WBC scatter value, and an amount of light scattered by PLTs to obtain a PLT scatter value; and determining a concentration of at least one of the RBCs, WBCs, and PLTs present in the sample mixture.

A urine sample testing apparatus may include a urine qualitative measuring section configured to acquire a measurement result for each of a plurality of urine qualitative measurement items and a urine sediment measuring section configured to acquire a measurement result for each of a plurality of urine sediment measurement items. The apparatus may also include an operation part that can specify a combination of one of the plurality of urine qualitative measurement items and one of the plurality of urine sediment measurement items. An information processing unit may also be included.

A chip includes a micro-channel unit for hydraulically classifying cells in a blood sample. In a micro-channel unit, liquid flowing from a sub channel into a main channel pushes cells flowing in the main channel toward a side thereof on which a removal channel and a collection channel are disposed. Fluid containing non-nucleated RBCs among the pushed cells enters the removal channel, so that the non-nucleated RBCs are removed from a blood sample. A plurality of micro-channel units having the same patterns as each other are repeatedly stacked in a height direction. Inlets of the main channels, inlets of the sub channels, outlets of the removal channels, outlets of the collection channels, and outlets of the main channels, which are provided in the micro-channel units, are connected to respective pillar channels penetrating each of layers in a traversing manner.